Donald Szlosek
@dszlosek
Biostatistician @IDEXX. @johnshopkins. Formerly @harvardmed, @BIDMChealth, @nasa. Real-world evidence, clinical trials, diagnostic validation. CoOrganizer BostonR. Mainer. he/him.
Saddened to hear of Lex Jansen’s passing. There was a time when much of what I knew about statistical programming came from lexjansen.com. Although I’ve since moved away from #SAS, his commitment to openness and knowledge sharing left a lasting impact on our community. He will be deeply missed.
Excited to be joining my first JSM conference AND presenting at the STAI-X conference! Don't be a stranger and feel free to connect to grab some coffee! #rstats #statistics #jsm2026
So Thankful for the MASSIVE turn out at our second event for the Greater Boston R User Group meeting! Outstanding Conversations from econometrics, to health equity / policy, to clinical trials and causal inference #rstats
Is Repeated Bayesian Interim Analysis Consequence-Free? See this excellent conversation that has taken place over the past year at #datamethods tinyurl.com/fhdatamethods #StatsSky #Statistics #ClinicalTrials
@kdoudrick.bsky.social What a wild ride to read: #academicsky @elsevierconnect.bsky.social
I feel like every time a new editor joins a major journal there should be a public hearing like we do with FDA commissioners. #academicsky #episky
I could not be happier to be a part of this wonderful group as a new co-organizer of the Boston R User Group! I’m excited to help restart this wonderful community along with @rachaeldempsey.bsky.social and @damiepak.bsky.social #rstats #statistics #rstats #boston
I also cannot recommend enough @pwgtennant.bsky.social's and @georgiatomova.bsky.social outstanding article on Lord's paradox. arxiv.org/pdf/2302.01822
I think about this figure from @stephensenn.bsky.social's Statistical Issues in Drug Development a lot (Ch. 7) alot. A useful reminder that baseline adjustment is often about precision not just “controlling for confounding.” #StatsSky #Statistics #EpiSky
Very Excited for the next Causal Inference Seminar at @jhubiostat.bsky.social on May 21st! #statsky #academicsky #skystats
Wonderful manuscript on the need and power of Statistical Methodology Groups in Pharma , authored by Jennifer Davenport at Roche, @numbersman77.bsky.social, and others! Below are some of my favorite quotes #skystats #statssky #statistics #EpiSky
I absolutely love this. Caregiver grants for those who need it to join @amstatnews.bsky.social JSM this year. I hope more conferences move in this direction. #academiceky #skystats #statssky #JSM2026
Thrilled to realize my JHU schedule overlaps with @pwgtennant.bsky.social for my first in-person causal inference seminar! @jhubiostat.bsky.social
For anyone who is doing statistical simulation work, I honestly cannot recommend @timpmorris.bsky.social's elegant 2019 manuscript on ADEMP framework enough. Outlining a structured approach to planning sim studies, w/in-depth examples+how to display Monte Carlo SEs. #statssky#statistics #academicsky
I worry that a strongly informative prior, if wrong, could heavily influence results in a small dataset, whereas in a much larger dataset it would have much less effect on the posterior. I imagine you are stuck using uninformative priors? Sad to have missed the talk! #statistics #statssky #skystats
What if you combine open datasets with AI? Apparently, a 3 fold increase in low quality research papers, mass-produced by paper mills. Interesting study in @jclinepi.bsky.social #academicsky #episky #medsky #Skystats Thanks to @maartenvsmeden.bsky.social for initially posting this on Linkedin!
Yikes Instagram. An Advertisement for a company that promises to learn how to do meta-analysis: “In just a matter of weeks you can get a great study [systemic review/ meta analysis] done published in top journals…without a statistician or [slow collaboration process]” #academicsky #metascience
Quite interesting read. I wish I got to hear a little bit more about FDA decisions like this in more detail as well. evidenceinthewild.com/about/ #statssky #skystats #academicsky
library(rms) dd <- datadist(mtcars) options(datadist = "dd") f <- lrm(am ~ mpg + wt, data = mtcars,x=TRUE,y=TRUE) c <- calibrate(f) validate(f) plot(c)
This is why we need forums like bluesky and discourse.datamethods.org #academicsky #statssky #statistics #skystats
The web version of this text is incredibly high yield. Block quotes from other statisticians. Audio-inputs. Also an excellent table at the end (which I can only partly screen cap on my phone). #academicsky #statistics #statssky
I didn't realize this until the other day but I usually keep matches and a candle on my coffee table (an old wooden chest) and it is essentially all the ingredients you need to estimate pi and solve Buffons Needle problem. I can't unsee it now. My poor future houseguests. #statssky #statistics #math
Because @laurewynants.bsky.social and @benvancalster.bsky.social do no get on here much #DataScience #MachineLearning #MissingData #Imputation #Rstats #Python #AI journals.plos.org/plosone/arti...
I was thinking about the efficiency of nonparametric tests and remembered this SO post about the Wilcox being 96% as efficient as T test, even in small samples. For those who have a copy, Lehman & Romano did an thorough job in <5 pages detailing situation. #statssky #statistics #rstats #AcademicSky